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Paper Citation Record · LEDGER

Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2107.05847.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2107.05847 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:28:53.349295Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T20:36:11.875424Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c0b05f7c-bd39-4a7f-8eb9-90bd1b9f559b · inbound

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization cites this paper.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T17:48:49.275186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:48:49.275186Z digest=sha256:baf8a177d53180cf6d0fc2bcb1062d22f2f03d84b886ac2a8ae67cceb083e4da

Observation d02e3461-2bae-490d-bbc2-acb349e5f022 · inbound

Interim Report on Human-Guided Adaptive Hyperparameter Optimization with Multi-Fidelity Sprints cites this paper.

Interim Report on Human-Guided Adaptive Hyperparameter Optimization with Multi-Fidelity Sprints Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T21:28:53.349295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:28:53.349295Z digest=sha256:3c27ce5f98eaa3581d13229edf073a117aaaf3899226df246cb98f2204d5ceb5

Observation 602a876e-56e2-4ef4-a3cc-9e7018da9454 · inbound

Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum cites this paper.

Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:08.163513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:08.163513Z digest=sha256:fc25023c11c09171fc9fd383c8cee24c59bd2cfdfcd70d5fce67e5c9514beceb

Observation aee71b9b-dc78-4a35-a49d-5774bc690131 · inbound

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents cites this paper.

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T01:15:20.555009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:15:20.555009Z digest=sha256:b04abdc63844726aa27c05e6d5a5b8d2c158423fde58cd36dad0f718855e5611

Observation c2907fc6-6ae7-40a5-8cd5-ad3526476bde · inbound

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents cites this paper.

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T06:05:26.828576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:05:26.828576Z digest=sha256:0b394813b259fa91a4f0f6a3972e7b4e5e86e232f68e231de8699cc8d19619c9

Observation ff2204f5-6777-4418-b753-de2828870720 · inbound

Machine learning models for estimating counterfactuals in a single-arm inflammatory bowel disease study cites this paper.

Machine learning models for estimating counterfactuals in a single-arm inflammatory bowel disease study Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:36:11.879797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T08:25:04.720148Z digest=sha256:851ce552a4fa212e8c1b8517841468f039b564f46a356e29ba0341a65f13b737